Publications – University of Copenhagen



[pdf] Hansen, T.M., Vu. L.T., Mosegaard, K., and Cordua, K. S. (2018) Multiple point statistical simulation using uncertain (soft) conditional data. Copmuters and Geosciences (114), May 2018, Pages 1-10.

[pdf] Madsen. R.B., and Hansen, T.M. (2018) Estimation and accounting for the modeling error in probabilistic linearized AVO inversion.  Geophysics, 2018. 83(2), 601-606. doi:10.1190/geo2017-0404.1.

[pdf] Efficient Monte Carlo sampling of inverse problems using a Neural Network based forward - applied to GPR crosshole traveltime inversion
Hansen, T.M. and Cordua, K.S. 
Geophysical Journal International, 211(2), 2017, 1524--1533.. doi:10.1093/gji/ggx380.
[pdf] Multiple-point statistical simulation for hydrogeological models: 3D training image development and conditioning strategies
Høyer, A.S, Vignoli, G., Hansen, T.M., Vu, L.T., Keefer, D.A., and Jørgensen, F. 
Hydrology and Earth System Sciences, 2017, 21(12), 6069--6089. doi:10.5194/hess-2016-567.
[pdf] On inferring the noise in probabilistic seismic AVO inversion using hierarchical Bayes.
Madsen. R.B., Zunino, A., and Hansen, T.M.
SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. 601-606. doi:10.1190/segam2017-17725822.1.
[pdf] Automatic mapping of base of aquifer – A case study from Morill Nebraska
Gulbrandsen, M.L., Ball. L., Minsley, B., and Hansen, T.M., 2017
Interpretation 5(2), p. doi:10.1190/INT-2016-0195.1
[pdf] Smart Interpretation - Automatic geological interpretations based on supervised statistical models
Gulbrandsen, M.L., Cordua. K.S., Bach, T., and Hansen, T.M., 2017
Computational Geosciences 21(3), pp 427-440. doi:10.1007/s10596-017-9621-8.
[pdf] Semi-Automatic Mapping of Permafrost in the Yukon Flats - Alaska
Gulbrandsen, M.L., Minsley, B., Ball. L., and Hansen, T.M., 2016.
Geophysical Research Letters 43(13), pp 12131-12137. doi:10.1002/2016GL071334.
[pdf] Mixed-point geostatistical simulation: A combination of two- and multiple-point geostatistics
Cordua. K.S., Hansen, T.M., Gulbrandsen, M.L., Barnes, C., and Mosegaard, K., 2016
Geophysical Research Letters 43(17), pp 9030-9037.. doi:10.1002/2016GL070348.
Revealing multiple geological scenarios through unsupervised clustering of posterior realizations from reflection seismic inversion
Gulbrandsen, M.L., Cordua. K.S., Hansen, T.M., and Mosegaard, K.
in Geostatistics Valencia 2016, Editors: Gómez-Hernández, J.J., Rodrigo-Ilarri, J., Rodrigo-Clavero, M.E., Cassiraga, E., Vargas-Guzmán, J.A. (Eds.)
[pdf,www] MPSLIB: A C++ class for sequential simulation of multiple-point statistical models
Hansen, T.M., Vu. L.T., and Bach, T.
in SoftwareX, doi:10.1016/j.softx.2016.07.001.
[pdf] Probabilistic Integration of Geo-Information
Hansen, T.M., Cordua. K.S., Zunino, A., and Mosegaard, K.
in Integrated Imaging of the Earth: Theory and Applications, pp 93-116. ISBN:978-1-118-92905-6.
[] Inverse Methods: Problem Formulation and Probabilistic Solutions
Mosegaard, K. and Hansen, T.M.
in Integrated Imaging of the Earth: Theory and Applications, pp 9-28 ISBN:978-1-118-92905-6.
[] Constitution and Structure of Earth’s Mantle: Insights from Mineral Physics and Seismology
Zunino, A., Khan, A., Cupillard, P., and Mosegaard, K.
in Integrated Imaging of the Earth: Theory and Applications, pp 219-244 ISBN:978-1-118-92905-6.
[pdf] A general probabilistic approach for inference of Gaussian model parameters from noisy data of point and volume support
Hansen, T.M., Cordua. K.S., and Mosegaard, K.
Mathematical Geosciences 47(7), pp 843-865. published online 09-2014. doi:10.1007/s11004-014-9567-5 
An example application using the SIPPI Matlab toolbox
[pdf] Monte Carlo reservoir analysis combining seismic reflection data and informed priors
Zunino, A., Mosegaard, K., Lange, K., Melnikova, Y., and Hansen, T.M.
Geophysics 80(1), pp R31–R41, 2014. doi:10.1190/geo2014-0052.1 
[pdf] History Matching through a Smooth Formulation of Multiple-Point Statistics
Melnikova,. Y., Zunino, A., Lange, K., Cordua, K. S., and Mosegaard, K.
Mathematical Geosciences, May, 2014. doi:10.1007/s11004-014-9537-y
[pdf] Improving the pattern reproducibility of multiple-point-based prior models using frequency matching
Cordua, K. S., Hansen, T.M., and Mosegaard, K.
Mathematical Geosciences, April 2014. doi:10.1007/s11004-014-9531-4
[pdf] Accounting for imperfect forward modeling in geophysical inverse problems - exemplified for cross hole tomography.
Hansen, T.M., Cordua, K. S., Jacobsen, B. J., and Mosegaard, K.
Geophsyics, 79(3) H1-H21, 2014. doi:10.1190/geo2013-0215.1
[pdf,code] SIPPI : A Matlab toolbox for Sampling the solution to Inverse Problems with complex Prior Information: Part 1 - Methodology.
Hansen, T.M., Cordua, K. S., Looms. M.C., and Mosegaard, K.
Computers & Geosciences, 52, 470-480, 2013. doi:10.1016/j.cageo.2012.09.004.
SIPPI Matlab toolbox
[pdfcode] SIPPI : A Matlab toolbox for Sampling the solution to Inverse Problems with complex Prior Information: Part 2 - Application to cross hole GPR tomography. 
T.M., Cordua, K. S., Looms. M.C., and Mosegaard, K.
Computers & Geosciences, 52, 481-492-480, 2013. doi:10.1016/j.cageo.2012.09.001.
SIPPI Matlab toolbox
Modeling and detection of oil in sea water.
Xenaki, A., Gerstoft, P., and Mosegaard, K.
Journal of the Acoustical Society of America, 134(4), pp 2790-2798, 2013. doi:10.1121/1.4818897.
[pdf] A Frequency Matching Method: Solving Inverse Problems by Use of Geologically Realistic Prior Information.
Lange, K., Frydendall, J., Cordua, K. S., Hansen, T.M., Melnikova, Y., and Mosegaard, K.
Mathematical Geosciences, 44(7), 783-803, 2012. doi:10.1007/s11004-012-9417-2.
[pdf] Monte Carlo Full Waveform Inversion of Crosshol GPR Data Using Multiple-point Geostatistical a Priori Information. Cordua, K. S., Hansen, T. M., and Mosegaard, K., 
Geophysics, 77(2), pp H19-H31, 2012. doi:10.1190/geo2011-0170.1.
[pdf ] Inverse problems with non-trivial priors - Efficient solution through Sequential Gibbs Sampling. 
Hansen, T. M., Cordua, K. S., and Mosegaard, K.
Computational Geosciences, 16(3), pp 593-611, 2012. doi:10.1007/s10596-011-9271-1 
We thank Ian Lynam for allowing us to use one of his Neojaponsime patterns.
[] Mosegaard, K., 2011. Quest for consistency, symmetry and simplicity : The Legacy of Albert Tarantola, Geophysics, 76, pp. W51-W61. doi:10.1190/geo2010-0328.1
[pdf] Mosegaard, K., 2010. Albert Tarantola Memorial, The Leading Edge (), pp 874-875.
[] Looms, M. C., Hansen, T. M., Cordua, K. S., Nielsen, L., Jensen, K. H., Binley, A., 2010. Geostatistical inference using crosshole ground-penetrating radar : Geostatistical inference using GPR, Geophysics, 75(6), pp J29-J41. doi:10.1190/1.3496001
[] Nielsen, L., Looms, M. C., Hansen, T. M., Cordua, K. S., Stemmerik, L., 2010. Estimation of Chalk Heterogeneity from Stochastic Modeling Conditioned by Crosshole GPR Traveltimes and Log Data, in Advances in Near-Surface Seismology and Ground-Penetrating Radar, eds. Miller, R., Bradford, J., and Holliger, K., Society of Exploration Geophysicists, Tulsa, Oklahoma, ISBN: 978-1-56080-224-2 , pp 379-396. 10.1190/1.9781560802259.ch23
[pdf] Hansen, T. M., Mosegaard, K., and Schiøtt, C. R., 2010. Kriging interpolation in seismic attribute space applied to the South Arne Field, North Sea. Geophysics, 75(6), pp 31-41.doi:10.1190/1.3494280
[pdf] Hansen, T. M., Mosegaard, K., Pedersen-Tatalovic, R., Uldall, A., and Jacobsen, N. L., 2008. Attribute guided well log interpolation. Geophysics, 73(6), pp R83-R95.doi:10.1190/1.2996302
[pdf] Pedersen-Tatalovic, R., Uldall, A., Jacobsen, N.L., Hansen, T.M., and Mosegaard, K., 2008. Event Based Low Frequency Impedance Modelling using Well Logs and Seismic Attributes. The Leading Edge 27(5), pp 592-603.
[pdf] Hansen, T. M., Looms, M. C., and Nielsen, L., 2008. Infering the sub-surface structural covariance model using corss bore-borehole ground penetrating radar tomography. Vadose Zone Journal, special issue on Ground Penetrating Radar in Hydrogeophysics 7(1), pp 249-262. doi:10.2136/vzj2006.0144
[pdf,code] Hansen, T. M. and Mosegaard, K., 2008. VISIM : Sequential simulation for linear inverse problems, Computers and Geosciences 34(1), pp 53-76, doi:10.1016/j.cageo.2007.02.003.
If you intend to use VISIM please visit
[pdf] Hansen T. M., Journel A. G, Tarantola A., and Mosegaard, K., 2006. Linear Inverse Gaussian Theory and Geostatistics, Geophysics 71(6), pp R101-R111. doi:10.1190/1.2345195